Results 61 to 70 of about 10,424,890 (336)
Discover Sequential Patterns in Incremental Database
, 2013 The task of sequential pattern mining is to discover the complete set of sequential patterns in a given sequence database with minimum support threshold.
Lin, Nancy P.; Hao, Wei Hua; Chen, Hung Jen; Chueh, Hao En; Chang, Chung I
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Exploiting high-order behaviour patterns for cross-domain sequential recommendation
Connection Science, 2022 The cross-domain sequential recommendation aims to predict the next item based on a sequence of recorded user behaviours in multiple domains. We propose a novel Cross-domain Sequential Recommendation approach with Graph-Collaborative Filtering (CsrGCF ...
Bingyuan Wang +6 more
doaj +1 more source
Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis
Frontiers in Artificial Intelligence, 2022 Sequential pattern mining remains a challenging task due to the large number of redundant candidate patterns and the exponential search space. In addition, further analysis is still required to map extracted patterns to different outcomes. In this paper,
Sohom Ghosh +5 more
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Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source
CloSpan Sequential Pattern Mining for Books Recommendation System in Petra Christian University Library [PDF]
, 2013 Petra Christian University (PCU) Library has been using website for their books search system. To further improve the service, it is necessary to develop the automatic system which can recommends the book or the correlation or the book which often ...
Yulia, +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Sequential Patterns Postprocessing for Structural Relation Patterns Mining [PDF]
, 2008 Sequential patterns mining is an important data-mining technique used to identify frequently observed sequential occurrence of items across ordered transactions over time. It has been extensively studied in the literature, and there exists a diversity of
Weiru Chen +3 more
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Contrastive Learning for Sequential Recommendation
IEEE International Conference on Data Engineering, 2022 Sequential recommendation methods play a crucial role in modern recommender systems because of their ability to capture a user's dynamic interest from her/his historical inter-actions. Despite their success, we argue that these approaches usually rely on
Xu Xie +7 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
, 2016 Sequential pattern mining is to discover frequent sequential patterns in a sequence database. The technique is applied to fields such as web click-stream mining, failure forecast, and traf- fic analysis.
Shyur, Huan-Jyh;Jou, Chichang;Cheng, Chi-Bin;Yen, Chih-Yu +2 more
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